Top Data & Analytics Jobs

As a Data Analyst, you will analyze data, optimize processes, and manage data quality, focusing on transformation projects in financial services.

As a Data Analyst, you will analyze data, optimize business processes, and support transformation projects for major banks. Collaboration in an agile team is key.

As a Data Analyst, you'll analyze complex data sets using statistical techniques, collaborate with SMEs, and prepare reports for stakeholders.

The Manual Tester will conduct comprehensive testing of card and payment processes, ensuring quality, validating business scenarios, and collaborating with teams to resolve issues.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

Lead data architecture engagements for financial services clients, defining enterprise data strategy, designing cloud-native data platforms on AWS/Azure/GCP, integrating governance and metadata capabilities, guiding migrations, and advising stakeholders on scalable, secure modern data architectures.

Lead data architecture and cloud transformation engagements for financial services clients. Define enterprise data strategy, design scalable cloud-native data platforms, integrate governance, cataloguing, privacy and metadata capabilities, and present technical solutions to stakeholders while shaping Capco's data architecture offerings.

Lead design and delivery of conceptual, logical, and physical data models for financial services clients; define data requirements, map source-to-target, support data migrations, enforce governance, and use modelling tools to curate metadata-aligned models.

Seeking a Senior Data Engineer to design, build, and deploy AWS-based data pipelines for Tier 1 financial services, mentoring junior engineers while ensuring scalable and fault-tolerant solutions.

Build, test, and maintain GCP-based data pipelines and ETL/ELT processes using Python and SQL. Optimize BigQuery queries, design data models, ensure data quality, troubleshoot pipeline issues, document solutions, and collaborate with analysts and engineers to deliver scalable data warehouse solutions.